Kan Xu

719 total citations
46 papers, 493 citations indexed

About

Kan Xu is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Kan Xu has authored 46 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 14 papers in Information Systems and 10 papers in Molecular Biology. Recurrent topics in Kan Xu's work include Topic Modeling (19 papers), Advanced Text Analysis Techniques (12 papers) and Information Retrieval and Search Behavior (10 papers). Kan Xu is often cited by papers focused on Topic Modeling (19 papers), Advanced Text Analysis Techniques (12 papers) and Information Retrieval and Search Behavior (10 papers). Kan Xu collaborates with scholars based in China and United States. Kan Xu's co-authors include Hongfei Lin, Yuan Lin, Liang Yang, Bo Xu, Yufeng Diao, Wen Yang, Xiaochao Fan, Zhihao Yang, Shengbo Liu and Yonghe Chu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and BMC Bioinformatics.

In The Last Decade

Kan Xu

46 papers receiving 477 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kan Xu China	11	284	103	81	70	59	46	493
Ivica Dimitrovski North Macedonia	12	263 0.9×	244 2.4×	78 1.0×	53 0.8×	42 0.7×	36	527
Kamalika Das United States	11	218 0.8×	62 0.6×	64 0.8×	52 0.7×	23 0.4×	33	454
Renu Dhir India	12	141 0.5×	49 0.5×	28 0.3×	80 1.1×	48 0.8×	44	408
Sumam Mary Idicula India	13	279 1.0×	165 1.6×	49 0.6×	31 0.4×	47 0.8×	84	630
José Alfredo Ferreira Costa Brazil	11	230 0.8×	144 1.4×	57 0.7×	29 0.4×	16 0.3×	59	408
Sonajharia Minz India	10	157 0.6×	89 0.9×	63 0.8×	86 1.2×	10 0.2×	57	533
Anindya Halder India	12	198 0.7×	85 0.8×	49 0.6×	32 0.5×	52 0.9×	38	397
Yao Meng China	12	220 0.8×	71 0.7×	43 0.5×	59 0.8×	18 0.3×	51	355
Stefan A. Robila United States	14	111 0.4×	102 1.0×	222 2.7×	129 1.8×	9 0.2×	72	498

Countries citing papers authored by Kan Xu

Since Specialization

Citations

This map shows the geographic impact of Kan Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Xu more than expected).

Fields of papers citing papers by Kan Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kan Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kan Xu. The network helps show where Kan Xu may publish in the future.

Co-authorship network of co-authors of Kan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Xu. A scholar is included among the top collaborators of Kan Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kan Xu. Kan Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Bo, Hongfei Lin, Liang Yang, Yuan Lin, & Kan Xu. (2022). Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model. Cognitive Computation. 14(3). 1055–1067. 4 indexed citations

Lin, Yuan, et al.. (2021). Knowledge-enhanced recommendation using item embedding and path attention. Knowledge-Based Systems. 233. 107484–107484. 9 indexed citations

Xu, Bo, Hongfei Lin, Yuan Lin, & Kan Xu. (2021). Two-stage supervised ranking for emotion cause extraction. Knowledge-Based Systems. 228. 107225–107225. 7 indexed citations

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Computing and Applications. 32(15). 11491–11503. 32 indexed citations

Diao, Yufeng, et al.. (2020). Homographic pun location using multi-dimensional semantic relationships. Soft Computing. 24(16). 12163–12173. 4 indexed citations

Diao, Yufeng, Hongfei Lin, Liang Yang, et al.. (2020). A Multi-Dimension Question Answering Network for Sarcasm Detection. IEEE Access. 8. 135152–135161. 19 indexed citations

Xu, Bo, Hongfei Lin, Yuan Lin, & Kan Xu. (2019). Incorporating query constraints for autoencoder enhanced ranking. Neurocomputing. 356. 142–150. 3 indexed citations

Xu, Bo, Hongfei Lin, Yuan Lin, et al.. (2019). Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. IEEE Access. 7. 15573–15583. 43 indexed citations

Lin, Yuan, Bo Xu, Hongfei Lin, Kan Xu, & Ping Zhang. (2019). FGFIREM: A feature generation framework based on information retrieval evaluation measures. Expert Systems with Applications. 133. 75–85. 1 indexed citations

10.

Diao, Yufeng, et al.. (2019). CRGA: Homographic pun detection with a contextualized-representation. Knowledge-Based Systems. 195. 105056–105056. 3 indexed citations

11.

Xu, Bo, Hongfei Lin, Liang Yang, et al.. (2019). A supervised term ranking model for diversity enhanced biomedical information retrieval. BMC Bioinformatics. 20(S16). 590–590. 8 indexed citations

12.

Xu, Bo, Hongfei Lin, Yuan Lin, Liang Yang, & Kan Xu. (2018). Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations. IEEE Access. 6. 62152–62165. 7 indexed citations

13.

Luo, Ling, Zhihao Yang, Lei Wang, et al.. (2018). Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach. 15. 467–469. 3 indexed citations

14.

Shen, Chen, Hongfei Lin, Kai Guo, et al.. (2018). Detecting adverse drug reactions from social media based on multi-channel convolutional neural networks. Neural Computing and Applications. 31(9). 4799–4808. 11 indexed citations

15.

Wang, Jian, et al.. (2017). A multiple distributed representation method based on neural network for biomedical event extraction. BMC Medical Informatics and Decision Making. 17(S3). 171–171. 22 indexed citations

16.

Xu, Bo, Hongfei Lin, Yuan Lin, & Kan Xu. (2017). Learning to Rank with Query-level Semi-supervised Autoencoders. 2395–2398. 6 indexed citations

17.

Liu, Shengbo, Chaomei Chen, Kun Ding, et al.. (2014). Literature retrieval based on citation context. Scientometrics. 101(2). 1293–1307. 40 indexed citations

18.

Xu, Kan, Wen Yang, Gang Liu, & Hong Sun. (2012). Unsupervised Satellite Image Classification Using Markov Field Topic Model. IEEE Geoscience and Remote Sensing Letters. 10(1). 130–134. 35 indexed citations

19.

Chen, Lijun, Wen Yang, Kan Xu, & Tao Xu. (2011). Evaluation of local features for scene classification using VHR satellite images. 385–388. 34 indexed citations

20.

Yang, Zhihao, et al.. (2011). Learning to rank using query-level regression. 1091–1092. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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